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AI exposure Building and grounds cleaning and maintenance

Will AI replace janitors and cleaners?

Janitors and Cleaners, Except Maids and Housekeeping Cleaners. US occupation 37-2011.

0.0%

of the time janitors and cleaners spend on their work goes on tasks where AI is already being used to do that work.of janitors and cleaners' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for janitors and cleanersWhat janitors and cleaners no longer do alone

O*NET lists 21 tasks for janitors and cleaners. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

21 of the 21 tasks show no AI use at work in the data.

  • Clean and polish furniture and fixtures.Core task
  • Clean building floors by sweeping, mopping, scrubbing, or vacuuming.Core task
  • Clean windows, glass partitions, or mirrors, using soapy water or other cleaners, sponges, or squeegees.Core task
  • Dust furniture, walls, machines, or equipment.Core task
  • Follow procedures for the use of chemical cleaners and power equipment to prevent damage to floors and fixtures.Core task
  • Gather and empty trash.Core task
Show the other 15
  • Mix water and detergents or acids in containers to prepare cleaning solutions, according to specifications.Core task
  • Monitor building security and safety by performing tasks such as locking doors after operating hours or checking electrical appliance use to ensure that hazards are not created.Core task
  • Move heavy furniture, equipment, or supplies, either manually or with hand trucks.Core task
  • Notify managers concerning the need for major repairs or additions to building operating systems.Core task
  • Requisition supplies or equipment needed for cleaning and maintenance duties.Core task
  • Service, clean, or supply restrooms.Core task
  • Clean chimneys, flues, and connecting pipes, using power or hand tools.
  • Drive vans, industrial trucks, or other vehicles required to travel to, or to perform, cleaning work.
  • Make adjustments or minor repairs to heating, cooling, ventilating, plumbing, or electrical systems.
  • Mow or trim lawns or shrubbery, using mowers or hand or power trimmers, and clear debris from grounds.
  • Remove snow from sidewalks, driveways, or parking areas, using snowplows, snow blowers, or snow shovels, or spread snow-melting chemicals.
  • Set up, arrange, or remove decorations, tables, chairs, ladders, or scaffolding to prepare facilities for events, such as banquets or meetings.
  • Spray insecticides or fumigants to prevent insect or rodent infestation.
  • Steam-clean or shampoo carpets.
  • Strip, seal, finish, and polish floors.

How that compares

Among the 8 building and grounds cleaning and maintenance occupations, janitors and cleaners rank 4. The group averages 2.5%, and its most exposed job is First-Line Supervisors of Landscaping, Lawn Service, and Groundskeeping Workers at 10.8%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346Insulation Workers, Floor, Ceiling, and Wall 0.0%
  2. 346Insurance Appraisers, Auto Damage 0.0%
  3. 346Interior Designers 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.